What Happened with Binance and How to Protect Against Such Attacks The Binance attack shows that attackers are no longer afraid to strike big structures and market players. The development of AI has led to an increase in the speed and complexity of attacks, and the targets that were once considered conditionally impregnable are no longer so. This case is a signal that such attacks will happen on other major players, and at a much higher pace than before. If we look at the facts available, the situation itself - when the compromise of a single devops engineer’s laptop makes it possible to steal billions of dollars - should not be possible in any circumstances. The security team's job is not to make the company impossible to hack, but to make the attack chain leading to an unacceptable event as long as possible so that the team has time to respond. Based on what we currently know, the chain was not long enough to respond in time, even without the involvement of AI in the attack. Which takes us back to the classic rules of information security: • Know the possible attack scenarios. • Make them as difficult as possible for attackers to get to. • Configure the tools in such a way that it becomes possible to prevent the occurrence of the unacceptable event within the infrastructure, not the breach itself. Here the count is in minutes, and this is not the speed of the people responding to the incident - it is a battle of the toolsets of those people who know how an attack happens and know how it can be prevented. What to do next? Historically, information security in the cyber industry has always been built around basic cryptographic systems, although this issue needs to be viewed much more broadly. This is a new sphere for classical information security and a relevant problem for any financial structures working with cryptocurrencies. We should change that!